Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 6 |
Since 2006 (last 20 years) | 16 |
Descriptor
Difficulty Level | 30 |
Higher Education | 30 |
Predictor Variables | 30 |
College Students | 12 |
Academic Achievement | 11 |
Student Attitudes | 7 |
Scores | 6 |
Student Motivation | 5 |
Cognitive Processes | 4 |
College Entrance Examinations | 4 |
College Faculty | 4 |
More ▼ |
Source
Author
Alley, William E. | 1 |
Alter, Pamela A. | 1 |
Bai, Jieru | 1 |
Brennan, Robert T. | 1 |
Carlos A. Escobar | 1 |
Civian, Janet T. | 1 |
Cromwell, Ashley M. | 1 |
Ferrara, Steve | 1 |
Finn, Amber N. | 1 |
Foy, J. M. | 1 |
Frantz, Roger S. | 1 |
More ▼ |
Publication Type
Education Level
Higher Education | 14 |
Postsecondary Education | 12 |
Elementary Secondary Education | 2 |
High Schools | 2 |
Secondary Education | 2 |
Middle Schools | 1 |
Audience
Researchers | 1 |
Location
United States | 3 |
Asia | 1 |
Australia | 1 |
Brazil | 1 |
Connecticut | 1 |
Denmark | 1 |
Egypt | 1 |
Estonia | 1 |
Finland | 1 |
Florida | 1 |
Germany | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
ACT Assessment | 3 |
SAT (College Admission Test) | 2 |
California Achievement Tests | 1 |
Graduate Record Examinations | 1 |
National Survey of Student… | 1 |
Students Evaluation of… | 1 |
Test of English as a Foreign… | 1 |
What Works Clearinghouse Rating
Pessi Lyyra; Sanna Anttonen; Tomi Waselius – European Journal of Open, Distance and E-Learning, 2024
A major challenge for distance learning in higher education is supporting course completion. Counteracting completion risk factors requires investigating their significance across (non)completion stages. We tested the predictability of known risk factors at each completion stage. Not initiating was explained by available time, low motivation and…
Descriptors: Distance Education, Open Education, Higher Education, Online Courses
Maria Soledad Ramirez-Montoya; Ruben Morales-Menendez; Michael Tworek; Carlos A. Escobar; Rasikh Tariq; Gloria Concepcion Tenorio-Sepulveda – Cogent Education, 2024
Future education requires fostering high-level competencies to enhance student talent, and artificial intelligence (AI) can help in profile analysis. The aim was to determine the variables that predict the GPA of students in the 'Leaders of Tomorrow' program through an integrated methodology of data analytics, machine learning modeling, and…
Descriptors: Difficulty Level, Competence, Leadership Training, Academic Achievement
Ferrara, Steve; Steedle, Jeffrey T.; Frantz, Roger S. – Applied Measurement in Education, 2022
Item difficulty modeling studies involve (a) hypothesizing item features, or item response demands, that are likely to predict item difficulty with some degree of accuracy; and (b) entering the features as independent variables into a regression equation or other statistical model to predict difficulty. In this review, we report findings from 13…
Descriptors: Reading Comprehension, Reading Tests, Test Items, Item Response Theory
Qashou, Abeer – Education and Information Technologies, 2021
The tremendous and rapid developments in the information and communications technology sector as well as mobile devices have resulted in modern technologies, one of which is Mobile Learning (M-learning). M-learning is a new technique for learning that helps students to do their educational activities and access the learning materials easily…
Descriptors: Educational Technology, Technology Uses in Education, Telecommunications, Handheld Devices
Bai, Jieru – Journal of International Students, 2016
A quantitative study was conducted to measure the acculturative stress of international students and investigate the predictors of acculturative stress. A total of 186 students participated in the survey. Results showed that 22.4% of the students in this study exceeded the normal stress level and might need counseling or psychological…
Descriptors: Acculturation, Foreign Students, Stress Variables, College Students
Wheeler, Edward W. – ProQuest LLC, 2012
In early 1995, the University of Tennessee at Martin (UTM) sought permission to terminate three existing engineering technology degree programs and replace them with a single Bachelor of Science in Engineering (BSE) degree. As part of the requirements to proceed with the implementation of an engineering program, the University of Tennessee system…
Descriptors: Engineering, Engineering Education, Models, Prediction
Saeed, Nauman; Sinnappan, Sukunesan – International Journal of Virtual and Personal Learning Environments, 2013
Second Life is a three dimensional multi-user virtual environment within the Web 2.0 suite of applications which has gained wide spread popularity amongst educators in the recent years. However, limited empirical research has been reported on the adoption of Second Life, especially within higher education. The majority of technology adoption…
Descriptors: Web 2.0 Technologies, Educational Technology, Technology Uses in Education, Higher Education
Cromwell, Ashley M.; McClarty, Katie Larsen; Larson, Sarah J. – Pearson Education, Inc., 2013
This paper outlines current student-level indicators at the high school and middle school levels that predict college success. In this bulletin, indicators are divided into three categories: assessment scores (e.g., SAT® exam scores), transcript attributes (e.g., course rigor), and additional indicators (e.g., attendance) that impact achievement.
Descriptors: College Readiness, Predictor Variables, Success, Middle School Students
Larseingue, Matt; Sawyer, Chris R.; Finn, Amber N. – Communication Education, 2012
Although previous research has linked students' expected grades to numerous pedagogical variables, this factor has been all but ignored by instructional communication scholars. In the present study, 315 undergraduates were presented with grading scenarios representing differing combinations of course rigor, teacher immediacy, and student…
Descriptors: Self Efficacy, Student Attitudes, Componential Analysis, Assignments
Miller, Charles – Distance Education, 2011
The purpose of this study has been to examine the impacts of aesthetic design on learner experience in an e-assessment environment, specifically on cognitive load and task performance. Sixty-six postsecondary students were randomly assigned to one of two aesthetic design configurations of the e-assessment environment: (1) an environment with low…
Descriptors: Experiential Learning, Aesthetics, Evaluation, Cognitive Processes
Hicks, Deborah K. – ProQuest LLC, 2013
The researcher investigated three types of factors, academic, commitment, and social on college sophomore's decisions to persist at predominately White institutions. The academic factors (academic integration, academic rigor), commitment (goal commitment and institutional commitment) and social factors (social integration and racial climate) were…
Descriptors: African American Students, Academic Persistence, College Students, Selective Admission
ACT, Inc., 2016
This report is the ACT annual report on the progress of U.S. high school graduates relative to college readiness. This year's report shows that 64% of students in the 2016 US graduating class took the ACT test, up from 59% in 2015 and 49% in 2011. The increased number of test takers over the past several years enhances the breadth and depth of the…
Descriptors: College Readiness, Career Readiness, Core Curriculum, College Preparation
Whitley, Meredith Anne – ProQuest LLC, 2012
Over the past 25 years, there has been a call for change within American higher education, with an increasing number of foundations, national organizations, and individual researchers pushing for institutions of higher education to become more involved with the surrounding communities and American society (Campus Compact, 2011; Glass &…
Descriptors: Service Learning, Undergraduate Students, Leaders, Leadership
ACT, Inc., 2015
This report is the ACT annual report on the progress of U.S. high school graduates relative to college readiness. This year's report shows that 59% of students in the 2015 U.S. graduating class took the ACT® test, up from 57% last year and 49% in 2011. The increased number of test takers over the past several years enhances the breadth and depth…
Descriptors: College Readiness, Career Readiness, Core Curriculum, College Preparation
Pastore, Raymond S. – ProQuest LLC, 2009
The purpose of this study was to examine the effects of visual representations and time-compressed instruction on learning and learners' perceptions of cognitive load. Time-compressed instruction refers to instruction that has been increased in speed without sacrificing quality. It was anticipated that learners would be able to gain a conceptual…
Descriptors: Learning Theories, Undergraduate Students, Prior Learning, Identification
Previous Page | Next Page »
Pages: 1 | 2